code: def to_json(self):
      if self.result_type == TABLE_VALUE:
          return self.result.to_json(orient="split")
      else:
          return json.dumps(self.to_dict())
  
imports: from typing import Dict
  from transformers import EvalPrediction
  from transformers.trainer_utils import PredictionOutput
  import pandas
  import torch
  import numpy
  from typing import Union
  import json
  import logging
label_desc: Use image node_id 4 for calling the EvalResult obj's underlying member method code with example usage: obj.to_json() and returns: self, json